The Impact of Emerging Technologies on Computer Science and Operations Research / Edition 1

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The emergence of high performance computers and sophisticated software technology has led to significant advances in the development and application of operations research. In turn, the growing complexity of operations research models has posed an increasing challenge to computational methodology and computer technology. This volume focuses on recent advances in the fields of computer science and operations research, on the impact of technological innovation on these disciplines, and on the close interaction between them.
The papers cover many relevant topics: computational probability; design and analysis of algorithms; graphics, heuristic search and learning; knowledge-based systems; large-scale optimization; logic modeling and computation; modeling languages; parallel computation; simulation; and telecommunications.

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Table of Contents

1 An Upper Bound Suitable for Parallel Vector Processing for the Objective Function in a Class of Stochastic Optimization Problems 1
2 On Embedded Languages, Meta-Level Reasoning, and Computer-Aided Modeling 27
3 Mapping Tasks to Processors to Minimize Communication Time in a Multiprocessor System 45
4 Refinements to the So-Called Simple Approximations for the Bulk-Arrival Queues: M[superscript X]/G/1 65
5 A Nearly Asynchronous Parallel LP-Based Algorithm for the Convex Hull Problem in Multidimensional Space 89
6 A Dynamically Generated Rapid Response Capacity Planning Model for Semiconductor Fabrication Facilities 103
7 Queueing Analysis in TK Solver (QTK) 129
8 On-Line Algorithms for a Single Machine Scheduling Problem 157
9 Modeling Experience Using Multivariate Statistics 175
10 Optimal Spare Parts Allocation and Industrial Applications 195
11 A C++ Class Library for Mathematical Programming 221
12 Integrating Operations Research and Neural Networks for Vehicle Routing 245
13 Using Artificial Intelligence to Enhance Model Analysis 263
14 Solving Quadratic Assignment Problems Using the Reverse Elimination Method 281
15 Neural Networks for Heuristic Selection: An Application in Resource-Constrained Project Scheduling 297
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